Harrison Pim is Head of Data Science at Climate Policy Radar with a decade of experience turning research-grade NLP, knowledge graph, computer vision, and information retrieval ideas into production search and discovery systems. He has advanced through senior data science roles at Wellcome Trust and The British Museum, bringing domain sensitivity to complex data and user-facing pipelines. Harrison excels at bridging academic research and engineering—advising MSc students at UCL while shipping scalable ML systems that serve real users. Based in London, he combines strong theoretical grounding from an MSci in Physics with hands-on experience building knowledge-graph-driven search for climate policy, demonstrating a rare mix of scientific rigor and production-first pragmatism.
10 years of coding experience
9 years of employment as a software developer
High School, High School at The Windsor Boys' School
Contributions:87 PRs, 156 pushes, 86 branches in 2 years 7 months
wellcomeknowledgememgraphknowledge-graphgraphql
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